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Data center and industrial IT infrastructure monitoring practices


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AggreGate Platform solves all typical tasks of data center and industrial IT infrastructure monitoring, provides fault and performance control, configuration management, monitoring networks, servers, applications, DBMS, virtualized environment, telephony, and more.

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Data center and industrial IT infrastructure monitoring practices

  1. 1. Data center and industrial IT infrastructure monitoring practices
  2. 2. Tibbo Systems and AggreGate Platform • Tibbo Systems: a Russian software developer working worldwide • AggreGate Platform: a «brick set» used to build monitoring and management systems for IoT devices • 12 years of investment into creating new modules • Hundreds of large deployment cases around the world • 10+ vertical market solutions, including IT infrastructure management and SCADA systems 2
  3. 3. IT Monitoring in Industrial Companies and Data Centers • Services include communication channels, technological information processing servers, rack power saving in data centers • Connecting to engineering systems (HVAC/CRAC, UPS, DGU, sensors) • Integration with video surveillance/video analytics, access control, security and fire alarm systems • Specific network monitoring (SDH/PDH, Profibus,..) • Monitoring IoT/M2M devices via cellular and satellite channels • Security is the key issue 3
  4. 4. IT Monitoring in Industrial Companies and Data Centers • Dispatching systems and technological information processing platforms are important monitoring objects • Central IT and technological management systems are equally integrated with inventory and Helpdesk systems • Engineering and security systems are not related to IT services but integrate with NCC • IT executive can see dependencies between faults in IT components and degradation of technological processes 4
  5. 5. Distributed IT Infrastructure • Typical case: multiple objects with simple engineering and IT infrastructures • Examples: gas filling stations, oil pump stations, wellsites, transformer plants, cell towers, and even special vehicles • Each object has a single monitoring server sending data to various services • The object server has its own DB and ways of notifying local operators about incidents • Aggregated KPIs and important incidents are sent to the company’s Situation Center 5
  6. 6. General Trend Various monitoring and management systems are becoming more interconnected: • IT infrastructure management • Technological data control • Remote monitoring and maintenance (M2M) • Fleet management • Physical security control • And others 6
  7. 7. AggreGate Network Manager • 2-in-1: platform + IT management box • Functionality solving standard monitoring tasks is similar to systems produced by other vendors • Typical tasks: fault and performance control, configuration management, monitoring networks, servers, applications, DBMS, virtualized environment, telephony, and more. • All AggreGate platform tools are inherited • Redundancy, distributed monitoring, unified data model, SDK, role-based access control, etc. 7
  8. 8. Platform + Box 8
  9. 9. IT Management and Process Control: similarities and differences • Each complex technological process is unique and requires non- standard automation solution • In the same way, the IT infrastructure of any large enterprise is unique, so there must be tools for solving non-standard management tasks • AggreGate Platform provides tools for data collection, storage, processing and visualization • This allows modeling and monitoring business services of industrial plants and data centers, not just IT infrastructure components 9
  10. 10. AggreGate Data Center Supervisor 10 + + + = Industrial and Building Automation – AggreGate SCADA/HMI IT and Network Management – AggreGate Network Manager Access Control and Video Surveillance – AggreGate Access Control Situation Center and Incident Management – AggreGate Incident Manager Data Center Supervision – AggreGate Data Center Supervisor
  11. 11. Building an Umbrella Monitoring System • Step 1: Configuring classic IT monitoring • Step 2: Connecting specific data sources (utility systems, sensors, PLC test data) • Step 3: Linking to low-level monitoring systems, collecting incidents and service data • Step 4: Modeling business services, their SLA and KPIs. Linking services to network. Visualizing services. • Step 5: Building a single situation center. Configuring data exchange between servers. Exchanging services, aggregating regional KPIs. 11
  12. 12. Centralized Incident Management 12
  13. 13. Modeling Business Services 13 • Defining KPI formulas • Setting SLA • Binding services with infrastructure metrics • Configuring model response to events • Setting up statistics collection • Service state visualization • Configuring degradation notifications • Moving to next-level service modeling
  14. 14. Reference Projects • United Energy Company: SDH/PDH and IP network monitoring in a middleware scenario • GomelTransNeft: distributed network, communication channels and sensor monitoring at oil pump station • Kazakhstan e-government: 18 independent sites, 2 data centers, government services are actual IT services provided to citizens and legal bodies • TransCanada Pipelines: Monitoring and diagnostics of a narrowband radio-relay system between oil pump stations along the pipeline.
  15. 15. Interface Examples 15
  16. 16. 16 Interface Examples
  17. 17. 17 Interface Examples
  18. 18. 18 Interface Examples
  19. 19. Instead of Summary • AggreGate development team based in Russia, Tver city • Own Russian deployment team and great collaboration experience with leading system integrators locally and abroad